This paper describes the co-design methodology created by the authors to partner with communities that have historical trauma associated with working with outsiders on projects that involved substantial use of engineering and science—renewable energy technologies, for example—that have not...

An interactive hybrid evolutionary computation (IHC) process for MEMS design synthesis is described, which uses both human expertise and local performance improvement to augment the performance of an evolutionary process. The human expertise identifies good design patterns, and local...

Advanced Vehicle Control Systems (AVCS) require large numbers of sensors for different levels within the control hierarchy. Whereas all sensors contain uncertainty to some degree, different sensors are particularly useful for specific environmental conditions. Therefore, sensor redundancy is...

Vehicles in an IVHS system rely heavily on information obtained from sensors. So far, most control systems make the implicit assumption that sensor information is always correct. However, in reality, sensor information is always corrupted to some degree by noise which varies with operating...

This study reports on a method to accomplish sensor validation and fusion in Intelligent Transportation Systems (ITS). The method is based on probabilistic and fuzzy techniques that express a confidence in the sensor data and take into account environmental factors and the state of the system....

This research project is concerned with sensor validation and sensor fusion as part of a five module hierarchical architecture for supervisory control. The goal is to enhance reliability and safety of the Intelligent Vehicle Highway System (IVHS) by taking into consideration the uncertainty of...